ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.10289
  4. Cited By
Thompson Sampling in Partially Observable Contextual Bandits

Thompson Sampling in Partially Observable Contextual Bandits

15 February 2024
Hongju Park
Mohamad Kazem Shirani Faradonbeh
ArXivPDFHTML

Papers citing "Thompson Sampling in Partially Observable Contextual Bandits"

4 / 4 papers shown
Title
Linear Bandits with Partially Observable Features
Wonyoung Hedge Kim
Sungwoo Park
G. Iyengar
A. Zeevi
Min Hwan Oh
53
0
0
10 Feb 2025
Partially Observable Contextual Bandits with Linear Payoffs
Partially Observable Contextual Bandits with Linear Payoffs
Sihan Zeng
Sujay Bhatt
Alec Koppel
Sumitra Ganesh
OffRL
24
1
0
17 Sep 2024
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret
  in Stochastic Contextual Linear Bandits
Breaking the T\sqrt{T}T​ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
Avishek Ghosh
Abishek Sankararaman
19
3
0
19 May 2022
Efficient Algorithms for Learning to Control Bandits with Unobserved
  Contexts
Efficient Algorithms for Learning to Control Bandits with Unobserved Contexts
Hongju Park
Mohamad Kazem Shirani Faradonbeh
14
6
0
02 Feb 2022
1